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I am a graduate student in the Roy J. Carver Department of Biomedical Engineering at
The University of Iowa, where I work on problems related to medical imaging, specifically injured lung segmentation.
My research interests are in medical imaging, computer vision and machine learning.
Previously, I worked as a Machine Learning Engineer at Rakuten on projects related to object detection (computer vision) and time-series analysis. I was also part of a research project in Spring 2020 on predicting hemodynamic shock in Intensive Care Units (ICUs). I received my Master's degree in Computer Science & Engineering from IIIT Delhi, India. Email / Google Scholar / GitHub / LinkedIn / CV |
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Nithish Divakar, Wrik Bhadra US Patent & Trademark Office (application #: 17/645,726) [filed Dec 2021] A vision-based automated predictve maintenance system for cellular antenna towers that detects structural damage (bend) in them and alerts concerned authorities. acknowledgment |
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Aditya Nagori, Pradeep Singh, Sameena Firdos, Vanshika Vats, Arushi Gupta, Harsh Bandhey, Anushtha Kalia, Arjun Sharma, Prakriti Ailavadi, Raghav Awasthi, Wrik Bhadra, Ayushmaan Kaul, Rakesh Lodha, Tavpritesh Sethi AAAS Science Translational Medicine A study on deep learning-based models for predicting hemodynamic shock in ICUs across different geographical contexts and age groups. medRxiv / pdf / code |
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Sanjay Kumar Mohanty, Sidrah Maryam, Vishakha Gautam, Aayushi Mittal, Krishan Gupta, Radhika Arora, Wrik Bhadra, Tripti Mishra, Debarka Sengupta, Gaurav Ahuja Briefings in Functional Genomics Odorant receptors (ORs) obey mutual exclusivity and monoallelic mode of expression. We developed Reverse Cell Tracking (RCT), a novel computational framework that facilitates OR-guided cellular backtracking by leveraging Uniform Manifold Approximation and Projection embeddings from RNA Velocity Workflow. paper link |
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These include coursework, side projects, reproduced materials and unpublished research work. |
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UIowa COE Research Open House (Spring 2024) ARDS is a life-threatening condition despite advancements in medical care. CT is used to diagnose ARDS and study lung heterogeneity. Automated segmentation of lungs in CT images is necessary for efficient quantitative-CT analysis. But, existing lung segmentation algorithms fail in severe cases of ARDS, where it is difficult to discriminate consolidated lung from surrounding soft tissue. poster |
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IIIT Delhi CSE544 (Winter 2019) Given dashboard images of drivers, our system aims to classify the driver on the basis of 10 predefined actions such as texting, speaking on the phone, reaching backwards etc. to detect distraction and alert them. poster / code |
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IIIT Delhi CSE643 (Monsoon 2018) To overcome smudge attacks and over-the-shoulder snooping in swipe-based unlocking mechanism in smartphones, our system considers the actual haptic gesture and speed for authentication. report / code |
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IIIT Delhi CSE542 (Winter 2019) Revisiting movie recommendation systems by analysing item-based collaborative filtering, wrapper method for feature selection and other relevant techniques such as kNN similarity. poster / report / code |
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The University of Iowa
Mentor, Moderator, Interviewer Mentored a BME undergrad on a project involving 3D lung segmentation in human CT scans. Summer 2024 Invited by the BME Department to moderate a session for BME Senior Design Day 2024. April 2024 Conducted initial discussion-cum-interview for five prospective graduate students. March 2024 & Summer 2023 Peer Mentor for two incoming international graduate students under the iPeer Mentorship Program. Spring 2024 & Fall 2023 |
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Rakuten India
Interviewer, Mentor, Representative Conducted technical interviews for a prospective full-time and three intern candidates for a separate business unit. Jun 2021 & Mar 2021 Mentored a CS undergrad intern on a project involving application of image processing techniques. Nov 2020 - Jan 2021 Attended and manned booth on behalf of Rakuten India as tech representative. certificate Feb 2020 |
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Institute Innovation Council
IIIT Delhi Member 2019 - 2020 |
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Template courtesy KH Joo, in turn Jon Barron. |